CBL - Campus del Baix Llobregat

Projecte llegit

Títol: A door-to-door route optimizer that includes sustainability criteria

Estudiants que han llegit aquest projecte:

Director/a: VILLARDI DE MONTLAUR, ADELINE DE

Departament: FIS

Títol: A door-to-door route optimizer that includes sustainability criteria

Data inici oferta: 15-07-2020     Data finalització oferta: 15-03-2021


Estudis d'assignació del projecte:
    GR ENG SIST AEROESP
Tipus: Individual
 
Lloc de realització: EETAC
 
Paraules clau:
Optimization, sustainability, transportation system, multi-criteria decision making, VIKOR, python, ecological footprint
 
Descripció del contingut i pla d'activitats:
Current travel planners help people to organize their journeys
by themselves. However, the most common websites offering such a
service lack in integrating several features that may be useful
for the user to take his/her decision, such as connection time
to the airport/station, environmental criteria, etc.

The focus of this project will be on travels for which several
transportation means may be needed in order to provide a door-
to-door solution. Its aim is to offer multiple choices to the
user in terms of: selecting the main transportation means,
selecting the secondary transportation means, including user’s
preferences, etc.

Door-to-door routes will be compared for 3 transportation means:
flight (+ access to airport), rail (+ access to train station)
and car.

Focus will be made on modeling emissions (CO2, NOx, etc.) of
every option and on the optimization part: ranking of the
options based on evaluation of preferences of the user.
 
Overview (resum en anglès):
In this project, the methodology used to develop a software capable of predicting the optimal means of transport for a door-to-door route is exposed. The criteria used to compare the different means of transport are: the price of the trip, the total time of the route, the feeling of comfort that each transport system transmits and the ecological footprint that the trip causes. When choosing the best alternative, the software takes into account the weights that are assigned to each criterion, and in turn, these weights can be distributed according to the user's preferences. In this way, the optimal solution changes according to the importance that each criterion may have for one type of user or another.
Once operational, the software is used to find out the best means of transportation for specific routes. It is also employed to understand what effect a scenario where only the cost and price of the trip has on the solutions, compared to a scenario in which environmental criteria are introduced. Finally, the operation of the software is also exploited to discover how the best transportation solutions vary according to users with different profiles.

© CBLTIC Campus del Baix Llobregat - UPC